Danish Normal Null (DNN)
E669121
Danish Normal Null (DNN) is Denmark’s national vertical reference system used to define standard sea-level-based elevations across the country.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Danish Normal Null (DNN) canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7488550 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danish Normal Null (DNN) Context triple: [Ejer Bavnehøj, elevationAboveSeaLevelReference, Danish Normal Null (DNN)]
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A.
DDDN
DDDN is a medical division specializing in the research, diagnosis, and treatment of digestive system and nutritional disorders.
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B.
DNNresearch Inc.
DNNresearch Inc. was a deep learning startup co-founded by Alex Krizhevsky (along with Geoffrey Hinton and Ilya Sutskever) that played a key role in advancing neural network research before being acquired by Google.
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C.
GDN
GDN is the vehicle registration code assigned to motor vehicles registered in the Pomeranian Voivodeship of Poland.
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D.
DDM
DDM was the ISO 4217 currency code for the East German mark, the official currency of the former German Democratic Republic.
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E.
MDDN
MDDN is an independent music company and artist management firm founded by Good Charlotte’s Madden brothers, known for working closely with rock and alternative acts.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Danish Normal Null (DNN) Target entity description: Danish Normal Null (DNN) is Denmark’s national vertical reference system used to define standard sea-level-based elevations across the country.
-
A.
DDDN
DDDN is a medical division specializing in the research, diagnosis, and treatment of digestive system and nutritional disorders.
-
B.
DNNresearch Inc.
DNNresearch Inc. was a deep learning startup co-founded by Alex Krizhevsky (along with Geoffrey Hinton and Ilya Sutskever) that played a key role in advancing neural network research before being acquired by Google.
-
C.
GDN
GDN is the vehicle registration code assigned to motor vehicles registered in the Pomeranian Voivodeship of Poland.
-
D.
DDM
DDM was the ISO 4217 currency code for the East German mark, the official currency of the former German Democratic Republic.
-
E.
MDDN
MDDN is an independent music company and artist management firm founded by Good Charlotte’s Madden brothers, known for working closely with rock and alternative acts.
- F. None of above. chosen
Statements (28)
| Predicate | Object |
|---|---|
| instanceOf |
height reference system
ⓘ
vertical reference system ⓘ |
| appliesTo |
Danish islands
ⓘ
mainland Denmark ⓘ |
| basedOn | sea-level-based elevations ⓘ |
| category |
geodetic datum
ⓘ
vertical datum ⓘ |
| coordinateType | orthometric height ⓘ |
| country | Denmark ⓘ |
| defines | national height datum of Denmark ⓘ |
| dimension | 1D height ⓘ |
| hasAbbreviation | DNN ⓘ |
| languageOfName | Danish ⓘ |
| referenceSurface | mean sea level ⓘ |
| relatedTo | geodetic reference systems in Denmark ⓘ |
| scope | national ⓘ |
| shortName | DNN ⓘ |
| unit | metre ⓘ |
| usedBy |
Danish authorities
ⓘ
engineers in Denmark ⓘ surveyors in Denmark ⓘ |
| usedFor |
construction
ⓘ
engineering ⓘ flood risk assessment ⓘ hydrology ⓘ mapping ⓘ |
| usedIn |
infrastructure projects in Denmark
ⓘ
topographic maps of Denmark ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Danish Normal Null (DNN) Description of subject: Danish Normal Null (DNN) is Denmark’s national vertical reference system used to define standard sea-level-based elevations across the country.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.